Triple
T4039130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allie Caulfield |
E83899
|
entity |
| Predicate | impactOnHolden |
P49700
|
FINISHED |
| Object | contributes to Holden’s depression |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: contributes to Holden’s depression | Statement: [Allie Caulfield, impactOnHolden, contributes to Holden’s depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnHolden Context triple: [Allie Caulfield, impactOnHolden, contributes to Holden’s depression]
-
A.
effectOnHolden
chosen
Indicates that one entity has an effect or impact on Holden.
-
B.
givesHolden
Indicates that one entity transfers or provides something to Holden.
-
C.
affectedTitleHolder
Indicates that a title holder is impacted or influenced in some way by a specified event, action, or relationship.
-
D.
scrappedAt
Indicates the time or date at which something was discarded, decommissioned, or removed from use.
-
E.
impactOnMarket
Indicates the effect or influence that one factor, event, or action has on market conditions, behavior, or outcomes.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb37e24c81908d6357ab8ba5388d |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.